ee.FeatureCollection.aggregate_count

AI-generated Key Takeaways

• aggregate_count calculates the number of features in a collection with a non-null value for a specified property.

• It takes a FeatureCollection and the property name as input.

• The result is a single number representing the count of non-null values.

• This function is useful for understanding data completeness and distribution for specific properties within a collection.

Aggregates over a given property of the objects in a collection, calculating the number of non-null values of the property.

Usage	Returns
FeatureCollection.aggregate_count(property)	Number

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The property to use from each element of the collection.

Examples

Code Editor (JavaScript)

// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
             .filter('country_lg == "Belgium"');

print('Number of non-null values for the fuel1 property',
      fc.aggregate_count('fuel1'));  // 66

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

import ee
import geemap.core as geemap

Colab (Python)

# FeatureCollection of power plants in Belgium.
fc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(
    'country_lg == "Belgium"')

print('Number of non-null values for the fuel1 property:',
      fc.aggregate_count('fuel1').getInfo())  # 66